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Technical Lead (IN)

HCL Technologies
IND
Lead · 3+ years experience
Discovered Yesterday
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Job Summary

We are seeking an AI Engineer to design, develop, deploy, and maintain AI/ML solutions that drive business value and enhance operational efficiency. The ideal candidate will have experience in machine learning, generative AI, large language models (LLMs), data engineering, and cloud-based AI platforms.

Key Responsibilities

Design, develop, and deploy AI/ML models and solutions to solve complex business problems. • Build and optimize Generative AI applications using Large Language Models (LLMs). • Develop AI-powered chatbots, assistants, recommendation systems, and automation solutions. • Fine-tune, evaluate, and monitor machine learning and foundation models for performance and accuracy. • Collaborate with business stakeholders, product owners, and engineering teams to gather requirements and translate them into AI solutions. • Develop data pipelines and ensure data quality for model training and inference. • Implement MLOps practices for model deployment, monitoring, and lifecycle management. • Ensure AI solutions adhere to security, compliance, and responsible AI principles. • Stay current with emerging AI technologies, frameworks, and industry best practices.

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. • 3+ years of experience in AI/ML development. • Strong programming skills in Python. • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Hands-on experience with Generative AI, LLMs, prompt engineering, and Retrieval Augmented Generation (RAG). • Experience with cloud platforms such as Azure, AWS, or GCP. • Knowledge of vector databases, embeddings, and AI orchestration frameworks (e.g., LangChain, Semantic Kernel). • Understanding of MLOps, CI/CD, model monitoring, and deployment practices. Preferred Qualifications: • Experience with Azure OpenAI, Databricks, MLflow, or similar AI platforms. • Familiarity with NLP, deep learning, and AI governance frameworks. • Experience working in healthcare, financial services, or other regulated industries.

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